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Paper Citation Record · LEDGER

Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial Examples

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.08579.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2210.08579 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:21:31.898161Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T23:21:36.161575Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c8214577-60c6-4f3c-afa1-216e89692a34 · inbound

SpaNN: Detecting Multiple Adversarial Patches on CNNs by Spanning Saliency Thresholds cites this paper.

SpaNN: Detecting Multiple Adversarial Patches on CNNs by Spanning Saliency Thresholds Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial Examples

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:21:36.238385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T23:21:31.898161Z digest=sha256:4e0d7f74ca5ac7ad4d971ad51212fc02bf76841e8a84b1bedc60895bd5503c10

Observation 64eabb29-0fac-4012-981c-c39db197ee02 · inbound

Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs cites this paper.

Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial Examples

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T09:53:25.862166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:53:25.862166Z digest=sha256:18676d0761abad1ebecb3bc107d940deed8911bd205234415f93cb40cba5c439